Analyzing Traffic Features of Common Standalone DoS Attack
Tools

D 2015

Analyzing Traffic Features of Common Standalone DoS Attack Tools

BUKAČ, Vít a Václav MATYÁŠ

Základní údaje

Originální název

Analyzing Traffic Features of Common Standalone DoS Attack Tools

Autoři

BUKAČ, Vít (203 Česká republika, domácí) a Václav MATYÁŠ (203 Česká republika, garant, domácí)

Vydání

Switzerland, Security, Privacy, and Applied Cryptography Engineering - 5th International Conference, SPACE 2015, Proceedings, od s. 21-40, 20 s. 2015

Nakladatel

Springer

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Švýcarsko

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

tištěná verze "print"

Odkazy

URL

Impakt faktor

Impact factor: 0.402 v roce 2005

Kód RIV

RIV/00216224:14330/15:00084111

Organizační jednotka

Fakulta informatiky

ISBN

978-3-319-24125-8

ISSN

DOI

http://dx.doi.org/10.1007/978-3-319-24126-5_2

UT WoS

000365953300002

Klíčová slova anglicky

network security; denial of service tools; input features; traffic characteristics

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 28. 4. 2016 14:49, RNDr. Pavel Šmerk, Ph.D.

Anotace

V originále

Research on denial of service (DoS) attack detection is complicated due to scarcity of reliable, widely available and representative contemporary input data. Efficiency of newly proposed DoS detection methods is continually verified with obsolete attack samples and tools. To address this issue, we provide a comparative analysis of traffic features of DoS attacks that were generated by state-of-the-art standalone DoS attack tools. We provide a classification of different attack traffic features, including utilized evasion techniques and encountered anomalies. We also propose a new research direction for the detection of DoS attacks at the source end, based on repeated attack patterns recognition.

Návaznosti

LA09016, projekt VaV

Název: Účast ČR v European Research Consortium for Informatics and Mathematics (ERCIM) (Akronym: ERCIM)

Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, Účast ČR v European Research Consortium for Informatics and Mathematics

Citovat

BUKAČ, Vít a Václav MATYÁŠ. Analyzing Traffic Features of Common Standalone DoS Attack Tools. In Chakraborty, Rajat Subhra, Schwabe, Peter, Solworth, Jon. Security, Privacy, and Applied Cryptography Engineering - 5th International Conference, SPACE 2015, Proceedings. Switzerland: Springer, 2015, s. 21-40. ISBN 978-3-319-24125-8. Dostupné z: https://dx.doi.org/10.1007/978-3-319-24126-5_2.

@inproceedings{1312799,
   author = {Bukač, Vít and Matyáš, Václav},
   address = {Switzerland},
   booktitle = {Security, Privacy, and Applied Cryptography Engineering - 5th International Conference, SPACE 2015, Proceedings},
   doi = {http://dx.doi.org/10.1007/978-3-319-24126-5_2},
   editor = {Chakraborty, Rajat Subhra, Schwabe, Peter, Solworth, Jon},
   keywords = {network security; denial of service tools; input features; traffic characteristics},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {Switzerland},
   isbn = {978-3-319-24125-8},
   pages = {21-40},
   publisher = {Springer},
   title = {Analyzing Traffic Features of Common Standalone DoS Attack Tools},
   url = {http://www.springer.com/in/book/9783319241258},
   year = {2015}
}

TY  - JOUR
ID  - 1312799
AU  - Bukač, Vít - Matyáš, Václav
PY  - 2015
TI  - Analyzing Traffic Features of Common Standalone DoS Attack Tools
PB  - Springer
CY  - Switzerland
SN  - 9783319241258
KW  - network security
KW  - denial of service tools
KW  - input features
KW  - traffic characteristics
UR  - http://www.springer.com/in/book/9783319241258
N2  - Research on denial of service (DoS) attack detection is complicated due to scarcity of reliable, widely available and representative contemporary input data. Efficiency of newly proposed DoS detection methods is continually verified with obsolete attack samples and tools. To address this issue, we provide a comparative analysis of traffic features of DoS attacks that were generated by state-of-the-art standalone DoS attack tools. We provide a classification of different attack traffic features, including utilized evasion techniques and encountered anomalies. We also propose a new research direction for the detection of DoS attacks at the source end, based on repeated attack patterns recognition.
ER  -

BUKAČ, Vít a Václav MATYÁŠ. Analyzing Traffic Features of Common Standalone DoS Attack Tools. In Chakraborty, Rajat Subhra, Schwabe, Peter, Solworth, Jon. \textit{Security, Privacy, and Applied Cryptography Engineering - 5th International Conference, SPACE 2015, Proceedings}. Switzerland: Springer, 2015, s.~21-40. ISBN~978-3-319-24125-8. Dostupné z: https://dx.doi.org/10.1007/978-3-319-24126-5\_{}2.

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